7 skills published by Tencent across 2 repositories. Together they weigh 122 628 tokens — that is what loading all of them at once would cost you in context.
7 skills 122 628 tokens total
> Forgejo REST API toolkit — manage issues, pull requests, wikis, and repos on a Forgejo server. Use when the agent needs to file an issue, open / review / merge a PR, read or write a wiki page, or look up repo / branch info. One standalone script per resource type. Reads credentials from environment, `~/.skillhone/settings.json`, or `_data/forgejo_config.txt`.
> SkillHone — toolkit for evaluating, optimizing, and managing agent skills. Use when asked to "evaluate a skill", "run probe", "optimize/iterate a skill", "create a new skill experiment", "seed a skill repo", or "run skill benchmarks"; also use when the user mentions a Forgejo-hosted skill repo and wants to optim, new, seed, serve, synth.
> Run and interpret skill evaluations. Use when you need to evaluate a skill, run probe/test/PR-val, check if a PR regresses quality, compare two versions, or diagnose why the score dropped. Handles the full eval lifecycle including solver trajectory diagnosis for tool-level error detection.
> Optimize a skill by planning, exploring available tools, diagnosing failures, and implementing fixes via PR. Use this skill as soon as an optimization loop starts, especially on the first iteration when community tools or reference approaches should be explored before implementation.
>- Interactively gather a PRD (Product Requirements Document) for an agent skill that is about to be built or optimized by SkillHone. Use when the user says things like "I want to write a new skill", "help me spec this skill", "what should <x>-skill do", or before running `skillhone new` / `skillhone optim` on a skill whose requirements aren't fully nailed down. The interview is driven through the `AskUserQuestion` tool — every round is a small set of dependent multi-choice questions, and the skill keeps asking until the user says stop. Final artifacts are three files in the paired `<skill>-eval` visible, scoring rubric redacted), and `PRD.choice.md` (the AskUserQuestion transcript). Also mirrors the appropriate pages into Forgejo wiki checkouts when available.
Use this skill to synthesize closed-form, automatically verifiable benchmark Q/A by exploring a tool environment, building a reusable exploration graph, and mining multiple hard questions from that graph. Use for: building a benchmark, writing eval items, generating evaluation data, closed-form QA, verifiable-answer datasets, synthesising eval data. Applies to any domain with callable tools. Do not use for open-ended writing, subjective scoring, or pure labeling.
>- WorkRally CLI (workrally) — 面向 AI Agent 的 AIGC 漫剧视频创作全流程工具集。 支持 AI 生图、AI 生视频、项目/剧集/场次/分镜的完整 CRUD、资产库、媒资管理、无限画布、文件上传下载等。 Use when user asks to generate images, generate videos, manage projects, series, shots, upload files, download assets, manage materials, or interact with WorkRally platform via command line.